We are seeking a skilled and proactive Generative AI Developer to join our team.
The ideal candidate will have a strong background in Generative AI, Machine Learning, and Deep Learning algorithms, with experience in Retrieval-Augmented Generation (RAG) applications and AWS services.
This role requires a proactive individual with excellent problem-solving skills and a passion for innovation.
Key Responsibilities :
- Design, develop, and implement Generative AI models and algorithms utilizing state-of-the-art techniques such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Large Language Models (LLMs).
- Develop and deploy Retrieval-Augmented Generation (RAG) applications to enhance the performance and accuracy of AI models.
- Utilize AWS services like Lambda, Bedrock, and SageMaker for model training, fine-tuning, and deployment.
- Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
- Work closely with stakeholders to define project goals, research requirements, and develop innovative solutions.
- Continuously improve and optimize AI models for performance, scalability, and efficiency.
- Monitor and maintain the health of AI systems, ensuring reliability and robustness.
- Stay up-to-date on the latest advancements in generative AI, deep learning, and related fields.
- Incorporate new techniques and methods into the team's workflow to drive innovation.
- Develop and maintain clear and concise documentation of generative AI models, processes, and results.
- Communicate complex AI concepts to both technical and non-technical stakeholders.
Required Qualifications :
5+ years of relevant experience in AI and Machine Learning.Proficiency in Generative AI, Machine Learning, and Deep Learning algorithms.Experience with RAG applications.Strong knowledge of AWS services such as Lambda, Bedrock, and SageMaker.Expertise in Python programming.Experience with machine learning platforms and libraries like TensorFlow, PyTorch, Keras, or similar.Bachelor's or Master's degree in Computer Science, Engineering, or a related field.Experience with Langchain for building AI applications.Familiarity with vector databases and knowledge retrieval techniques.Experience in deploying AI models in production environmentsref : hirist.tech)